Should I use FastAPI or Django for a new Python API?

FastAPI for greenfield APIs that need async performance, clean type safety, and minimal overhead. Django (with DRF) for projects that benefit from the Django admin, ORM, and batteries-included structure — or teams with existing Django expertise.

How does Python handle concurrent requests?

FastAPI uses asyncio for async I/O, allowing thousands of concurrent connections without threads. For CPU-bound tasks, we use multiprocessing or offload to background workers. Gunicorn with multiple Uvicorn workers handles production load efficiently.

Can Python serve as the only backend language for a product?

Yes. FastAPI or Django handle the web API, Celery handles background jobs, and Python's ML libraries handle AI/data workloads — you can build a complete product without touching another language.

How do you deploy Python applications?

We containerise Python apps with Docker and deploy to AWS ECS, EKS, or App Runner. Serverless Python runs on AWS Lambda via Mangum. We configure Gunicorn + Uvicorn for production ASGI serving.

How do you manage Python dependency versions and environments?

We use uv (the modern Rust-based package manager) or Poetry for dependency management and virtual environments, with pinned lock files to ensure reproducible builds across development, CI, and production.

Backend

Python Development Company

From web APIs to machine learning pipelines — Python's readability and ecosystem make it the most versatile backend language.

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120+

Python projects delivered

8 yrs

Python expertise

50+

ML models deployed to production

< 50ms

FastAPI p95 latency

What We Build

Our Python Development Services

FastAPI Backend Development

High-performance, async-first REST and GraphQL APIs built with FastAPI — with automatic OpenAPI docs, Pydantic validation, and sub-millisecond overhead.

Machine Learning API Development

Production ML inference APIs wrapping PyTorch or scikit-learn models — with caching, batching, and monitoring.

Data Pipeline & ETL Development

Scalable data pipelines using Prefect, Airflow, or AWS Glue for ingestion, transformation, and loading between data sources.

AI Integration Services

LLM-powered features integrated into your product — using OpenAI, Anthropic, or open-source models via LangChain or LlamaIndex.

Python Automation & Scripting

Custom automation scripts, web scrapers, and data extraction tools that eliminate repetitive manual workflows.

Django REST API Development

Full-featured Django applications with Django REST Framework for teams that want batteries-included structure and the Django admin.

Technology Advantage

Why Python for Your Business?

Python is the undisputed language of data science, machine learning, and AI tooling — and a highly productive choice for web APIs and automation. At Bluejay, we use Python for AI/ML services, data pipelines, FastAPI backends, and automation scripts. Its ecosystem — NumPy, Pandas, scikit-learn, PyTorch, LangChain — is unmatched for anything touching data or intelligence.

Unmatched ML/AI Ecosystem

PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain — the entire AI/ML stack is Python-first. No other language comes close for data science workloads.

Rapid Prototyping

Python's concise syntax and interactive development (Jupyter, IPython) let you validate ideas in hours rather than days.

FastAPI Performance

FastAPI matches Node.js and Go in async throughput benchmarks. Combined with Pydantic v2's Rust-powered validation, it delivers production-grade API performance.

Pydantic Type Safety

Pydantic provides runtime type validation and serialisation with Python type hints — bringing TypeScript-like safety to Python APIs and data models.

Scientific Computing

NumPy, Pandas, and SciPy provide optimised C/Fortran-backed array operations that Python code can call with a high-level API — essential for data processing at scale.

Massive Community

Python is the most-used language in the world. Finding libraries, documentation, and developers is easier than for any other backend language.

Why Us

Why Choose Bluejay for Python?

Deep Python Expertise

Our engineers have shipped production Python systems for 8+ years across startups, scale-ups, and enterprise clients.

Production-First Engineering

We build for real-world scale, not demos. Every system is architected for performance, reliability, and long-term maintainability.

Full Transparency

Weekly demos, milestone tracking, and a dedicated project manager as your single point of contact — no black boxes.

Long-Term Partnership

Post-launch support, continuous improvement, and feature development — we stay engaged as your product evolves.

Ecosystem

Python Ecosystem & Tools

Web Frameworks

FastAPI

DDjango

FFlask

LLitestar

Data & ML

PPyTorch

Sscikit-learn

PPandas

PPolars

AI Tooling

LLangChain

LLlamaIndex

HHugging Face

OOpenAI SDK

Infrastructure

CCelery

PPrefect

Docker

AAWS Lambda (Mangum)

How We Work

Our Processes

We deliver a structured process for seamless project execution. From understanding your requirements to delivering the final solution, we ensure proactive technology services based on your business needs.

Sprint Planning

We break the project into focused sprints with clearly defined goals, priorities, and deliverables, keeping the team aligned and progress visible at all times.

Design & Development

Each sprint delivers working software from UI design to backend logic, with continuous collaboration and daily standups to keep momentum high.

QA & Testing

Every sprint output goes through rigorous quality assurance, automated testing, and code review to ensure reliability, performance, and security.

Review & Iteration

At the end of each sprint, we demo progress to stakeholders, collect feedback, and refine the roadmap to ensure the final product perfectly fits your needs.

Release & Optimization

Once validated, we deploy to production and monitor closely. Post-launch optimizations ensure your product performs at its best from the first day live.

How We Work

Our Processes

Sprint Planning

We break the project into focused sprints with clearly defined goals, priorities, and deliverables, keeping the team aligned and progress visible at all times.

Design & Development

Each sprint delivers working software from UI design to backend logic, with continuous collaboration and daily standups to keep momentum high.

QA & Testing

Every sprint output goes through rigorous quality assurance, automated testing, and code review to ensure reliability, performance, and security.

Review & Iteration

At the end of each sprint, we demo progress to stakeholders, collect feedback, and refine the roadmap to ensure the final product perfectly fits your needs.

Release & Optimization

Once validated, we deploy to production and monitor closely. Post-launch optimizations ensure your product performs at its best from the first day live.

Explore More

Related Technologies

Frequently Asked Questions

Everything healthcare organisations ask us before we start building together.

Ready to build with Python?

Talk to our Python experts today and get a clear path forward within 4 hours.

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